Dekai Wang

2.0k citations
36 papers · 1.4k · h-index 14

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Rice Cultivation and Yield Improvement
    • Plant nutrient uptake and metabolism
    • GABA and Rice Research
  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Plant Molecular Biology Research 8
    • Polysaccharides and Plant Cell Walls 4
    • GABA and Rice Research 3
    • Plant-Microbe Interactions and Immunity 3
    • Chromosomal and Genetic Variations 3
    • Plant Gene Expression Analysis 4
    • Plant biochemistry and biosynthesis 3

Dekai Wang

34 papers receiving 1.4k citations

Peers

Dekai Wang
Comparison fields: 5 of 102
  • Plant Science 1.1k
  • Genetics 295
  • Molecular Biology 601
  • Biotechnology 31
  • Nutrition and Dietetics 49
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Dekai Wang relative to Weihua Qiao China Weihua Qiao's profile →
Citations per field
00.5×2.6×
Weihua Qiao · 1×
Citations per year

Countries citing papers authored by Dekai Wang

Since Specialization
Citations

This map shows the geographic impact of Dekai Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dekai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dekai Wang more than expected).

Fields of papers citing papers by Dekai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dekai Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dekai Wang. The network helps show where Dekai Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Dekai Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dekai Wang Line = papers co-authored together Dekai Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007389
2 2015165
3 2017157
4 2021127
5 201294
6 202083
7 202167
8 201748
9 201541
10 202337
11 202234
12 201420
13 201916
14 202314
15 202313
16 202212
17 202411
18 202211
19 200611
20 202310

About Dekai Wang

Dekai Wang is a scholar working on Plant Science, Molecular Biology, Genetics, Pharmacology and Food Science, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (4 papers), Polysaccharides and Plant Cell Walls (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), GABA and Rice Research (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant biochemistry and biosynthesis (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Genetics (295 citations), Molecular Biology (601 citations), Biotechnology (31 citations) and Nutrition and Dietetics (49 citations). Dekai Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yuezhi Tao, Heqin Liu, Sujuan Li, Zongxiu Sun, Yaping Fu, Kemei Pei, Bin Han, Penggen Duan, Ke Huang and Baolan Zhang. Their work appears in journals such as Gene, Frontiers in Microbiology, The Plant Journal, BMC Plant Biology and Genetic Resources and Crop Evolution.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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